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[ISSUE]: #1354

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3 of 7 tasks
LoskObrabo opened this issue Sep 18, 2024 · 1 comment
Open
3 of 7 tasks

[ISSUE]: #1354

LoskObrabo opened this issue Sep 18, 2024 · 1 comment
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v.2 for version.2.x

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@LoskObrabo
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Voice Changer Version

vcclient_win_std_2.0.61-alpha.zip

Operational System

Windows 10

GPU

RX 560

CUDA Version

My gpu is amd

Read carefully and check the options

  • If you use win_cuda_torch_cuda edition, setup cuda? see here
  • If you use win_cuda edition, setup cuda and cudnn? see here
  • If you use mac edition, client is not launched automatically. Use chrome to open application.?
  • I've tried to change the Chunk Size
  • I've tried to set the Index to zero
  • I've read the tutorial
  • I've tried to extract to another folder (or re-extract) the .zip file

Does pre-installed model work?

No

Model Type

RVC

Issue Description

I use it normally but there comes a time when the program just crashes out of nowhere, what could it be?

Application Screenshot

Captura de tela 2024-09-18 172420

Logs on console

2024-09-18 17:20:04.1141429 [E:onnxruntime:, sequential_executor.cc:516 onnxruntime::ExecuteKernel] Non-zero status code returned while running GRU node. Name:'/rmvpe/model/fc/fc.0/gru/GRU' Status Message: D:\a_work\1\s\onnxruntime\core\providers\dml\DmlExecutionProvider\src\MLOperatorAuthorImpl.cpp(2557)\onnxruntime_pybind11_state.pyd!00007FF9F08B0AEE: (caller: 00007FF9F0FFACF1) Exception(2) tid(b05c) 887A0005 A inst² ncia de dispositivo GPU foi suspensa. Use GetDeviceRemovedReason para determinar a a² ² o apropriada.

@w-okada w-okada added the v.2 for version.2.x label Oct 2, 2024
@w-okada
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w-okada commented Oct 2, 2024

Looking at the error message, it seems that onnxruntime is throwing an error. I'm not a developer for onnxruntime, so I don't know the details, but since it mentions "GetDeviceRemovedReason," I think onnxruntime might be losing track of your device.

The reasons for the device being lost can be variously speculated, such as poor connection, insufficient power supply, or full memory, among other possibilities. There is also the chance that it could be a bug within onnxruntime itself.

In any case, there isn't much that can be done with this software. Please use the CPU instead of the GPU.

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